Access 95%CI after using svy: mean variables, over(group)

[Eirik Brandsaas]

Hi,

I'm working with a dataset that uses some fancy survey sampling design, which I think I've finally understood. After using the svy-commands, and so on, I want to find the means and 95% CI of the variable by age. The command finds the mean, standard error, and 95% CI, but I have no idea how to access the confidence interval, even after a lot of googling!


Please the below MWE, where a dataset is included at the end.

svyset cluster [pweight= wgt], strata(stratum)
svy: mean giver

Note that the svy: mean giver command gives me the mean, standard error and the 95% CI. I also want to store the 95% CI in a local/scalar whatever. What is the name of the matrix that the CI is stored in?

scalar mean = e(b)[1,1] //works
di mean
scalar CI_lowerbound = e(ci)[1,1] // does not work, in what matrix are the lower and upper bounds of the ci stored?

Where are the 95% CI stored?

* Example generated by -dataex-. To install: ssc install dataex
clear
input float wgt byte(stratum cluster) float giver
26.538713 1 2 0
.14287305 2 1 0
13.541413 2 1 0
1.5445018 1 2 0
1.2428784 1 3 0
.14605893 1 3 0
  41.5022 1 2 0
1.3487246 1 2 0
1.3300264 1 3 0
2.2500246 2 2 1
 10.70082 2 2 0
 26.03309 1 3 0
2.2902308 1 3 0
1.3894604 1 2 0
end

[/CODE]

[Andrew Musau]

See the matrix -r(table)- in

return list

You want

di r(table)[rownumb(r(table), "ll"),1 ]
di r(table)[rownumb(r(table), "ul"),1 ]

[Eirik Brandsaas]

Thank you!